Approximate Frequency Counts over Data Streams
Summary: Tracing the Approximate Frequency Counts work and its influence on data-stream sketching, heavy-hitter detection, and sublinear memory algorithms. Also surveys a recent trend: personal data streams for quality-of-life gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,347 | BPTree: an ℓ2 Heavy Hitters Algorithm Using Constant Memory | 2017 | PODS | 5.0969206e-05 |
| 8,246 | Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation | 2022 | VLDB | 4.5462498e-05 |
| 10,667 | Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing | 2025 | VLDB | 4.1905499e-05 |
| 10,905 | Streaming Algorithms with Few State Changes | 2024 | PODS | 4.1905499e-05 |
| 11,322 | Truly Perfect Samplers for Data Streams and Sliding Windows | 2022 | PODS | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 168 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.0003915627 |
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| 831 | Finding Frequent Items in Data Streams | 2008 | VLDB | 0.00016094846 |
| 13,568 | Extreme Streaming: Business Optimization Driving Algorithmic Challenges | 2008 | SIGMOD | - |
| 168 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.0003915627 |